1. Warm Up
Create a Scatter Plot and Line of Best Fit for the following data.

2. Residuals and Data Interpretation (Pg. 78)
EQ: How do we calculate and interpret data residuals?
Assessment: Students will write a summary to explain how to find data residuals.

3. Key Terms:
Residual- distance between a data ______ and the _______ line.
Causation- when a ________ in one __________ causes a change in the other ________ .

5. EQ: How do we calculate and interpret data residuals?
Assessment: Students will write a summary to explain how to find data residuals.

6. Ex1) For each trend line:
Part 1) Find each residual value
Part 2) Calculate the sum of the residuals.

7. Ex1) For each trend line:
Part 1) Find each residual value
Part 2) Calculate the sum of the residuals.

8. Ex2) Compare the sums of the residuals from Example 1 to determine which line is a better fit for the data and explain your choice.

10. EQ: How do we calculate and interpret data residuals?
Assessment: Students will write a summary to explain how to find data residuals.

11. Write the equation for the trend line
Write the equation for the trend line. Then interpret the meaning of the slope and y-intercept in the context of the problem.

12. Write the equation for the trend line
Write the equation for the trend line. Then interpret the meaning of the slope and y-intercept in the context of the problem.

13. Ex4) Decide whether the situation models correlation and/or causation and write yes or no on the blank according to your decision.
1. Height of a plant increases as amount of sunlight it receives increases.
Correlation:_____ Causation: _____
2. A survey of a class shows the students who get lower grades spend more time sleeping each week.
Correlation: _____ Causation: _____

14. EQ: How do we calculate and interpret data residuals?
Assessment: Students will write a summary to explain how to find data residuals.